Senior Manager, Advanced Data Analytics and Insights

Fidelity • Boston, MA

1d

About The Position

Fidelity is seeking an analytics professional to generate actionable insights that inform product strategy. As part of the Customer Knowledge and Strategic Insights (CKSI) team, this individual will partner with stakeholders and agile, interdisciplinary teams across analytics, engineering, data science, marketing, and product development. The role uses data, analytics, and market intelligence to identify trends, uncover growth opportunities, and explain customer experience in support of long-term strategic decisions. It offers the opportunity to influence decisions affecting wealth, planning, advisory, and insurance solutions and to advance a data-driven, customer-centric operating model. This is an individual contributor role. Fidelity will not provide immigration sponsorship for this position.

Requirements

• At least 6 years of experience generating analytical insights to drive business actions.
• Experience with analytical tools and programming languages such as SQL, Python, or R.
• Experience using and querying big data technologies such as Snowflake or Athena.
• Experience designing and developing dashboards and reports using tools such as Tableau or Power BI.
• Experience with digital analytics tools such as Adobe Analytics.
• Bachelor’s degree in a quantitative or technical field such as Data or Business Analytics, Economics, Statistics, or Finance.
• Ability to collaborate across teams with diverse skills and focus analytical work on business use cases and customer needs.
• Ability to communicate customer experience insights clearly and translate business questions into testable hypotheses.
• Intellectual curiosity, initiative, and willingness to learn new skills and capabilities.

Nice To Haves

• MBA or MS degree.

Responsibilities

• Generate actionable analytical insights to inform product strategy and business decisions.
• Use data, analytics, and market intelligence to identify emerging trends and growth opportunities.
• Tell a cohesive, data-based story of the customer experience, including successes and friction points.
• Translate business needs or questions into hypotheses that can be validated through experimentation or data analysis.
• Manipulate and synthesize large, sometimes unwieldy datasets into clear, simple, actionable insights for broad audiences.
• Continuously improve data analytics and insights capabilities and share expertise throughout the organization.

Benefits

• Comprehensive health care coverage
• Emotional well-being support
• Retirement benefits
• Paid time off
• Parental leave
• Charitable giving employee match program
• Educational assistance, including student loan repayment, tuition reimbursement, and learning resources

What This Job Offers

• Job Type: Full-time
• Career Level: Senior